Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning.
Luca FranceschiRiccardo GrazziMassimiliano PontilSaverio SalzoPaolo FrasconiPublished in: CoRR (2018)
Keyphrases
- meta learning
- grid search
- bilevel programming
- model selection
- inductive learning
- learning tasks
- optimality conditions
- machine learning algorithms
- decision trees
- convex programming
- hyperparameters
- feature selection
- convergence analysis
- data mining
- machine learning
- base classifiers
- convex optimization
- learning problems
- upper level
- optimization problems
- active learning
- prior knowledge
- pairwise